ChIPpeakAnno binOverGene error
3
@wojeff-14309
Last seen 4.3 years ago
d<-binOverGene(cvglist,tr,upstream.cutoff =1000,downstream.cutoff = 1000)
ERROR: subscript contains out-of-bounds ranges
chippeakanno
binOverGene
• 1.7k views
@ou-jianhong-4539
Last seen 2 days ago
United States
Dear Wuze,
This is a bug in binOverGene when the accumulated given range for any chromosome is greater than 2^31. I tried to fix the bug in next release build (3.12.3 ).
Let me know if you still have trouble in using next release build.
@julie-zhu-3596
Last seen 12 months ago
United States
Hi, could you please try with upstream.cutoff = 0, downstream.cutoff = 0? Also could you please provide your R session information by typing sessionInfo()? Thanks!
Best regards,
Julie
@wojeff-14309
Last seen 4.3 years ago
Yes, if i set upstream.cutoff = 0, downstream.cutoff = 0, it works, but i wanted to show some flanking regions.
and here was my sessioninfo:
R version 3.4.2 (2017-09-28)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 14.04.5 LTS
Matrix products: default
BLAS: /usr/lib/openblas-base/libblas.so.3
LAPACK: /usr/lib/lapack/liblapack.so.3.0
locale:
[1] LC_CTYPE=zh_CN.UTF-8 LC_NUMERIC=C LC_TIME=zh_CN.UTF-8
[4] LC_COLLATE=zh_CN.UTF-8 LC_MONETARY=zh_CN.UTF-8 LC_MESSAGES=zh_CN.UTF-8
[7] LC_PAPER=zh_CN.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=zh_CN.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] parallel stats4 stats graphics grDevices utils datasets methods base
other attached packages:
[1] GenomicFeatures_1.28.5 AnnotationDbi_1.38.2 Biobase_2.36.2 GenomicRanges_1.28.6
[5] GenomeInfoDb_1.12.3 IRanges_2.10.5 S4Vectors_0.14.7 BiocGenerics_0.22.1
loaded via a namespace (and not attached):
[1] httr_1.3.1 bit64_0.9-7 AnnotationHub_2.8.3
[4] splines_3.4.2 shiny_1.0.5 Formula_1.2-2
[7] interactiveDisplayBase_1.14.0 latticeExtra_0.6-28 RBGL_1.52.0
[10] blob_1.1.0 BSgenome_1.44.2 GenomeInfoDbData_0.99.0
[13] Rsamtools_1.28.0 yaml_2.1.14 RSQLite_2.0
[16] backports_1.1.1 lattice_0.20-35 biovizBase_1.24.0
[19] digest_0.6.12 RColorBrewer_1.1-2 XVector_0.16.0
[22] checkmate_1.8.5 colorspace_1.3-2 ggbio_1.24.1
[25] httpuv_1.3.5 htmltools_0.3.6 Matrix_1.2-11
[28] plyr_1.8.4 OrganismDbi_1.18.1 XML_3.98-1.9
[31] pkgconfig_2.0.1 biomaRt_2.32.1 zlibbioc_1.22.0
[34] xtable_1.8-2 scales_0.5.0 BiocParallel_1.10.1
[37] htmlTable_1.9 tibble_1.3.4 AnnotationFilter_1.0.0
[40] ggplot2_2.2.1 SummarizedExperiment_1.6.5 nnet_7.3-12
[43] lazyeval_0.2.1 mime_0.5 survival_2.41-3
[46] magrittr_1.5 memoise_1.1.0 GGally_1.3.2
[49] foreign_0.8-69 graph_1.54.0 BiocInstaller_1.26.1
[52] tools_3.4.2 data.table_1.10.4-3 matrixStats_0.52.2
[55] stringr_1.2.0 munsell_0.4.3 cluster_2.0.6
[58] DelayedArray_0.2.7 ensembldb_2.0.4 Biostrings_2.44.2
[61] compiler_3.4.2 rlang_0.1.4 grid_3.4.2
[64] RCurl_1.95-4.8 dichromat_2.0-0 VariantAnnotation_1.22.3
[67] htmlwidgets_0.9 labeling_0.3 bitops_1.0-6
[70] base64enc_0.1-3 gtable_0.2.0 curl_3.0
[73] DBI_0.7 reshape_0.8.7 R6_2.2.2
[76] reshape2_1.4.2 GenomicAlignments_1.12.2 gridExtra_2.3
[79] knitr_1.17 rtracklayer_1.36.6 bit_1.1-12
[82] Hmisc_4.0-3 ProtGenerics_1.8.0 stringi_1.1.6
[85] Rcpp_0.12.13 rpart_4.1-11 acepack_1.4.1
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